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We are seeking a skilled GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong experience in…
Projekt realizowany jest w obszarze Data Science, sztucznej inteligencji oraz analizy danych, którego celem jest rozwój i wdrażanie rozwiązań wspierających podejmowanie decyzji biznesowych na podstawie danych. Zespół…
Senior Data Engineer builds and optimizes ETL/ELT pipelines, data warehouses, and real-time analytics using cloud platforms, Spark, Kafka, and Python/Scala in a hybrid setup.
Build and maintain scalable data pipelines, warehouses, and streaming architectures using SQL, Python/Scala, Spark, Kafka, and cloud platforms (Azure/AWS/GCP).
Design and build scalable big data systems and ETL pipelines using Hadoop, Spark, Kafka, and SQL to power analytics and reporting for a B2B revenue intelligence platform.
Design and operate a secure, multi-region cloud platform using AWS, Kubernetes, and automation tools to support high-scale, zero-trust infrastructure.
Build and maintain scalable data pipelines and warehouses using Python, SQL, and Hadoop to deliver clean, actionable datasets for analytics teams.
工作职责 1. 负责账号安全、反作弊、营销风控、内容安全等核心风控业务的数据基建,构建风控指标体系,负责离线/实时风控特征库(Feature Store)的设计与开发。 2. 负责高并发、低延迟的实时风控数据链路建设,为风控引擎和算法模型提供高质量数据支持,包括黑样本库建设、设备指纹数据加工、用户行为序列特征提取等。 3.…
Develop and deliver scalable ETL/ELT solutions across Teradata and Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities. Ensure efficient data processing, performance…
Build and maintain scalable data pipelines, ETL processes, and APIs in AWS/GCP to support analytics and applications, using Python, SQL, Spark, and cloud services.
Responsibilities: - Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization. - Perform data extraction, cleaning, transformation, and flow.…
As a Software Engineer with Graviton your responsibilities will include: Contribute to all layers of backend systems including databases, APIs and applications Design, build and maintain applications for business…
Builds and operates Java/Spring microservices on AWS and Kubernetes, integrating Kafka, Spark, and databases while managing cloud infrastructure and CI/CD pipelines.
Job: 3046233 Job Description: Application Support Engineer Location: Charlotte, North Carolina (Onsite) Role Overview This role offers an opportunity to enhance domain, technical, and process expertise by supporting a…
Senior Software Engineer building and maintaining scalable data and ML platforms in Python on GCP, enabling self-service analytics and ML workflows for a large B2B ecommerce company.
Design and optimize cloud-based data pipelines, warehouses, and migrations using SQL, Python, and cloud services to enable AI/ML and analytics for government clients.
Senior Data Engineer builds and maintains scalable data pipelines and APIs using Python, Spark, and Hadoop to support digital and marketing platforms at a major U.S. bank.
Build and deploy ML models to detect fraud and improve security across Apple’s operations using Python, Spark, and SQL.
Build and maintain Java-based sanctions and AML applications using Spring, REST, and SQL; collaborate with global teams in an agile, DevOps-driven environment.
Build and prototype AI-driven algorithms for fraud detection and AML compliance using large financial datasets, Scala/Python, Spark, and Kafka.
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